Trim a Numeric Vector

Removes the values in a numeric vector that are beyond the specified quantiles, effectively trimming the distribution based on the cut parameter. This process reduces the vector's length by excluding extreme values from both tails of the distribution.

Usage

trim(x, cut)

Arguments

x

A numeric vector to be trimmed.

cut

The proportion of data to be trimmed from both ends of the distribution. For example, a cut of 0.05 will remove the lowest and highest 5% of the data. Must be in [0, 0.5].

Value

A numeric vector with the extreme values removed.

See also

Other utility functions: create_summary_statistics(), get_available_huggingface_files(), list_supported_datasets(), list_supported_datasets_ff(), list_supported_datasets_ff_legacy(), list_supported_datasets_macro_predictors(), list_supported_datasets_other(), list_supported_datasets_pseudo(), list_supported_datasets_wrds(), list_supported_indexes(), list_supported_jkp_factors(), list_tidy_finance_chapters(), open_tidy_finance_website(), validate_dates(), winsorize()

Examples

set.seed(123)
data <- rnorm(100)
trimmed_data <- trim(x = data, cut = 0.05)